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OVARIAN CANCER - Interactive survival scatter ploti
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red. The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The interactive Survival Scatter plot allows for the cutoff to be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Survival analysis". Under the Survival Scatter plot the p-score landscape is shown together with the difference in median between survival time for patients who have died with respect to high and low expression. This is intended to aid the user in exploring custom cutoffs.
Individual patient data is displayed in an interactive plot and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off).
SPOCK2 is prognostic, high expression is unfavourable in ovarian cancer
Stage:
Survival analysis
Current cut off: Best expression cut offi
Based on the FPKM value of each gene, we classified the patients into two groups and examined their prognoses. In the analysis, we excluded genes with low expression, i.e., those with a median expression among samples less than FPKM 1. The prognosis of each group of patients was examined by Kaplan-Meier survival estimators, and the survival outcomes of the two groups were compared by log-rank tests. To choose the best FPKM cut-offs for grouping the patients most significantly, all FPKM values from the 20th to 80th percentiles were used to group the patients, significant differences in the survival outcomes of the groups were examined and the value yielding the lowest log-rank P value is selected.
: 37.66
Median expression: N/A
Median follow up time: N/A P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A 5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A 5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as median FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average FPKM
49.7
Number of samples
373
Samples
Sample
Description
FPKM
TCGA-59-2348-01A
female, white, alive, 5481 days
843.1
TCGA-61-1733-01A
71 years, female, white, alive, 967 days
607.9
TCGA-13-1477-01A
49 years, female, white, dead, 1662 days
377.9
TCGA-23-1809-01A
63 years, female, white, alive, 16 days
362.8
TCGA-24-2271-01A
55 years, female, asian, dead, 962 days
297.4
TCGA-24-1427-01A
58 years, female, alive, 147 days
256.7
TCGA-25-2404-01A
38 years, female, american indian or alaska native, dead, 883 days
243.8
TCGA-23-1030-01A
64 years, female, white, alive, 886 days
225.4
TCGA-24-1418-01A
68 years, female, white, alive, 243 days
207.3
TCGA-59-2350-01A
female, dead, 679 days
189.8
TCGA-24-1423-01A
61 years, female, white, alive, 190 days
185.6
TCGA-09-1662-01A
58 years, female, white, dead, 2717 days
174.4
TCGA-09-1673-01A
50 years, female, white, alive, 92 days
165.8
TCGA-09-0364-01A
80 years, female, white, dead, 887 days
165.6
TCGA-24-1105-01A
36 years, female, white, dead, 1442 days
165.1
TCGA-24-1552-01A
77 years, female, white, dead, 1259 days
165.0
TCGA-61-2003-01A
53 years, female, white, alive, 122 days
162.9
TCGA-61-1995-01A
43 years, female, white, alive, 61 days
158.7
TCGA-13-0727-01A
71 years, female, white, dead, 462 days
156.2
TCGA-24-1553-01A
53 years, female, white, dead, 1767 days
155.1
TCGA-24-2035-01A
65 years, female, white, dead, 857 days
151.4
TCGA-36-1580-01A
82 years, female, dead, 737 days
146.5
TCGA-29-1776-01A
63 years, female, black or african american, alive, 360 days
143.2
TCGA-24-2038-01A
68 years, female, white, dead, 1354 days
141.3
TCGA-25-1321-01A
65 years, female, white, dead, 1033 days
139.1
TCGA-13-0908-01B
58 years, female, white, dead, 1843 days
134.8
TCGA-61-1910-01A
56 years, female, white, alive, 1127 days
134.4
TCGA-23-1109-01A
63 years, female, white, dead, 1562 days
131.6
TCGA-25-2409-01A
71 years, female, white, dead, 821 days
129.3
TCGA-13-1405-01A
49 years, female, white, dead, 868 days
129.3
TCGA-13-0893-01B
48 years, female, black or african american, dead, 1319 days
128.6
TCGA-04-1519-01A
48 years, female, alive, 24 days
125.2
TCGA-25-1626-01A
65 years, female, white, dead, 518 days
121.0
TCGA-25-1328-01A
38 years, female, white, dead, 2009 days
119.0
TCGA-61-2110-01A
56 years, female, white, dead, 1354 days
117.2
TCGA-29-1770-01A
54 years, female, white, alive, 741 days
116.7
TCGA-13-0884-01B
39 years, female, white, dead, 3260 days
111.4
TCGA-29-1690-01A
66 years, female, white, dead, 1448 days
110.3
TCGA-29-1693-01A
72 years, female, white, alive, 3096 days
106.3
TCGA-61-2008-01A
40 years, female, asian, alive, 932 days
105.1
TCGA-57-1994-01A
63 years, female, white, alive, 761 days
103.9
TCGA-59-2355-01A
female, white, dead, 65 days
102.5
TCGA-30-1892-01A
52 years, female, white, dead, 1484 days
101.6
TCGA-25-1627-01A
73 years, female, white, dead, 394 days
101.2
TCGA-13-1485-01A
48 years, female, white, dead, 629 days
98.0
TCGA-24-2288-01A
70 years, female, white, dead, 25 days
97.7
TCGA-57-1585-01A
57 years, female, white, dead, 53 days
94.8
TCGA-29-1783-01A
58 years, female, white, alive, 220 days
94.8
TCGA-59-2354-01A
female, white, dead, 1046 days
93.9
TCGA-04-1343-01A
72 years, female, white, dead, 361 days
92.7
TCGA-57-1993-01A
56 years, female, white, alive, 763 days
91.7
TCGA-25-2399-01A
80 years, female, white, dead, 608 days
91.6
TCGA-24-1558-01A
73 years, female, white, dead, 594 days
91.2
TCGA-24-2033-01A
87 years, female, white, dead, 562 days
90.7
TCGA-59-2352-01A
female, white, dead, 286 days
90.4
TCGA-13-1505-01A
63 years, female, white, alive, 1998 days
90.3
TCGA-13-0883-01A
61 years, female, white, dead, 2097 days
89.3
TCGA-04-1542-01A
52 years, female, white, dead, 2561 days
88.9
TCGA-13-0906-01A
50 years, female, white, alive, 3619 days
88.7
TCGA-61-2109-01A
40 years, female, white, dead, 629 days
88.4
TCGA-24-2281-01A
68 years, female, white, alive, 1357 days
87.5
TCGA-29-1705-01A
48 years, female, white, dead, 555 days
86.6
TCGA-13-0726-01A
55 years, female, white, dead, 949 days
86.4
TCGA-24-1549-01A
58 years, female, white, dead, 1721 days
86.1
TCGA-13-1409-01A
73 years, female, white, dead, 1742 days
83.5
TCGA-09-1670-01A
57 years, female, white, alive, 547 days
82.7
TCGA-25-2042-01A
60 years, female, american indian or alaska native, dead, 396 days
80.5
TCGA-04-1362-01A
59 years, female, white, dead, 1348 days
80.4
TCGA-24-1842-01A
49 years, female, white, alive, 253 days
80.1
TCGA-24-1563-01A
66 years, female, black or african american, dead, 1451 days
78.9
TCGA-04-1655-01A
49 years, female, white, dead, 1380 days
78.5
TCGA-25-1329-01A
76 years, female, white, dead, 457 days
78.3
TCGA-31-1951-01A
58 years, female, white, alive, 684 days
77.3
TCGA-36-1569-01A
52 years, female, white, alive, 885 days
77.0
TCGA-24-1434-01A
59 years, female, white, dead, 568 days
76.6
TCGA-25-1634-01A
76 years, female, white, dead, 1091 days
75.6
TCGA-13-0897-01A
54 years, female, white, dead, 2182 days
75.3
TCGA-04-1350-01A
46 years, female, white, dead, 1946 days
75.2
TCGA-25-1318-01A
54 years, female, white, dead, 1064 days
73.9
TCGA-24-1424-01A
67 years, female, white, alive, 183 days
73.5
TCGA-61-2088-01A
51 years, female, white, alive, 145 days
72.8
TCGA-13-1499-01A
56 years, female, white, alive, 3500 days
72.1
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, dead, 547 days
70.8
TCGA-30-1861-01A
74 years, female, white, dead, 1058 days
69.4
TCGA-24-1426-01A
43 years, female, white, alive, 163 days
67.8
TCGA-25-1632-01A
68 years, female, white, dead, 1799 days
67.0
TCGA-25-1628-01A
67 years, female, white, dead, 627 days
66.9
TCGA-24-2298-01A
56 years, female, white, dead, 1620 days
65.6
TCGA-23-1111-01A
63 years, female, white, alive, 98 days
65.2
TCGA-13-0765-01A
50 years, female, white, dead, 1389 days
62.6
TCGA-23-1026-01B
45 years, female, white, alive, 816 days
62.4
TCGA-61-1998-01A
48 years, female, white, alive, 168 days
60.6
TCGA-30-1891-01A
61 years, female, white, dead, 914 days
59.9
TCGA-09-2056-01B
62 years, female, white, alive, 379 days
59.8
TCGA-23-1120-01A
60 years, female, white, alive, 130 days
59.3
TCGA-36-1568-01A
52 years, female, alive, 875 days
59.1
TCGA-24-1425-01A
45 years, female, white, alive, 181 days
59.0
TCGA-10-0927-01A
65 years, female, dead, 2490 days
58.9
TCGA-29-A5NZ-01A
66 years, female, black or african american, dead, 1088 days
58.6
TCGA-25-2398-01A
71 years, female, white, dead, 1369 days
58.1
TCGA-30-1853-01A
58 years, female, white, dead, 1103 days
57.5
TCGA-13-1403-01A
48 years, female, white, dead, 2345 days
57.2
TCGA-24-1843-01A
67 years, female, white, alive, 106 days
56.9
TCGA-61-2104-01A
53 years, female, white, alive, 2338 days
55.5
TCGA-OY-A56Q-01A
78 years, female, black or african american, alive, 576 days
55.1
TCGA-23-1122-01A
53 years, female, white, dead, 1189 days
55.1
TCGA-24-1422-01A
82 years, female, black or african american, dead, 23 days
55.0
TCGA-23-1021-01B
45 years, female, white, dead, 1446 days
54.5
TCGA-24-2289-01A
69 years, female, white, dead, 2049 days
54.2
TCGA-23-1027-01A
48 years, female, white, dead, 976 days
53.9
TCGA-13-0720-01A
48 years, female, white, dead, 1355 days
52.8
TCGA-13-0725-01A
44 years, female, white, dead, 377 days
52.7
TCGA-23-2084-01A
45 years, female, white, dead, 1516 days
52.5
TCGA-24-1923-01A
51 years, female, white, dead, 690 days
51.8
TCGA-30-1862-01A
65 years, female, white, dead, 186 days
51.7
TCGA-57-1582-01A
female, white, dead, 731 days
50.5
TCGA-29-1785-01A
55 years, female, white, dead, 1104 days
50.2
TCGA-09-2048-01A
63 years, female, white, dead, 138 days
49.0
TCGA-13-0888-01A
78 years, female, white, dead, 2811 days
49.0
TCGA-24-1416-01A
34 years, female, white, alive, 194 days
48.9
TCGA-04-1536-01A
60 years, female, black or african american, dead, 885 days
48.6
TCGA-09-1669-01A
54 years, female, white, alive, 928 days
48.1
TCGA-10-0936-01A
69 years, female, black or african american, dead, 1123 days
48.0
TCGA-09-1661-01B
75 years, female, white, dead, 1169 days
47.6
TCGA-23-2077-01A
45 years, female, white, alive, 3525 days
47.5
TCGA-23-1113-01A
48 years, female, white, dead, 949 days
47.0
TCGA-25-1317-01A
66 years, female, white, dead, 61 days
46.9
TCGA-61-1724-01A
47 years, female, white, dead, 637 days
46.6
TCGA-10-0937-01A
44 years, female, white, dead, 608 days
45.7
TCGA-24-1604-01A
67 years, female, white, dead, 2688 days
45.2
TCGA-24-2293-01A
47 years, female, white, dead, 506 days
45.1
TCGA-04-1341-01A
85 years, female, white, alive, 33 days
44.6
TCGA-59-2363-01A
female, asian, alive, 165 days
43.3
TCGA-24-2261-01A
76 years, female, white, dead, 24 days
42.7
TCGA-04-1331-01A
79 years, female, white, dead, 1336 days
42.3
TCGA-24-1464-01A
70 years, female, white, dead, 379 days
41.6
TCGA-24-1844-01A
64 years, female, white, alive, 113 days
41.4
TCGA-25-1633-01A
64 years, female, white, dead, 1891 days
41.3
TCGA-29-1710-01A
54 years, female, white, dead, 951 days
40.8
TCGA-13-0804-01A
74 years, female, white, dead, 1073 days
40.3
TCGA-25-1322-01A
62 years, female, white, dead, 91 days
39.7
TCGA-24-1562-01A
67 years, female, white, dead, 1384 days
39.4
TCGA-13-1408-01A
59 years, female, white, dead, 1680 days
39.1
TCGA-24-1419-01A
62 years, female, white, alive, 239 days
39.0
TCGA-13-1411-01A
81 years, female, white, dead, 531 days
38.7
TCGA-09-1668-01B
57 years, female, white, alive, 1684 days
38.7
TCGA-09-0369-01A
56 years, female, white, dead, 1082 days
38.7
TCGA-24-1557-01A
49 years, female, white, dead, 1213 days
38.1
TCGA-25-1635-01A
71 years, female, white, dead, 1583 days
38.0
TCGA-24-1417-01A
54 years, female, white, alive, 238 days
38.0
TCGA-13-1487-01A
74 years, female, white, dead, 681 days
37.9
TCGA-23-1119-01A
64 years, female, white, alive, 3953 days
37.4
TCGA-61-1736-01B
45 years, female, white, dead, 1484 days
37.4
TCGA-61-1918-01A
45 years, female, white, dead, 479 days
37.2
TCGA-25-1631-01A
73 years, female, white, dead, 9 days
37.0
TCGA-29-2425-01A
60 years, female, white, alive, 1977 days
36.3
TCGA-13-0795-01A
66 years, female, white, dead, 619 days
36.1
TCGA-13-0916-01A
49 years, female, white, alive, 1785 days
35.7
TCGA-24-0966-01A
78 years, female, black or african american, alive, 232 days
35.5
TCGA-20-0991-01A
78 years, female, white, alive, 797 days
35.4
TCGA-24-2280-01A
74 years, female, white, alive, 2143 days
35.2
TCGA-29-2414-01A
75 years, female, white, dead, 2621 days
35.0
TCGA-36-1574-01A
48 years, female, asian, alive, 686 days
35.0
TCGA-13-0730-01A
71 years, female, white, dead, 542 days
34.7
TCGA-5X-AA5U-01A
61 years, female, black or african american, alive, 361 days
34.6
TCGA-24-0979-01A
53 years, female, white, dead, 1264 days
34.6
TCGA-25-2393-01A
81 years, female, white, dead, 1157 days
33.9
TCGA-29-2428-01A
58 years, female, white, alive, 1372 days
33.8
TCGA-30-1866-01A
61 years, female, white, dead, 1114 days
33.4
TCGA-29-1694-01A
45 years, female, white, dead, 1187 days
33.2
TCGA-25-1312-01A
69 years, female, white, dead, 31 days
32.8
TCGA-24-1413-01A
51 years, female, white, alive, 192 days
32.4
TCGA-13-0905-01B
51 years, female, white, alive, 3746 days
32.2
TCGA-24-1847-01A
45 years, female, white, alive, 343 days
32.0
TCGA-61-2012-01A
81 years, female, white, alive, 932 days
32.0
TCGA-25-2392-01A
75 years, female, white, dead, 31 days
31.1
TCGA-09-2053-01C
72 years, female, white, alive, 1209 days
31.1
TCGA-10-0933-01A
77 years, female, white, dead, 446 days
30.8
TCGA-13-1509-01A
64 years, female, white, alive, 2438 days
30.8
TCGA-24-2024-01A
72 years, female, black or african american, dead, 1769 days
30.7
TCGA-04-1338-01A
78 years, female, white, alive, 1418 days
30.4
TCGA-10-0928-01A
71 years, female, white, dead, 563 days
29.9
TCGA-13-0924-01A
45 years, female, white, alive, 2614 days
29.6
TCGA-61-1728-01A
59 years, female, white, alive, 848 days
29.5
TCGA-30-1860-01A
58 years, female, white, dead, 1366 days
29.1
TCGA-13-1501-01A
50 years, female, white, dead, 1314 days
29.1
TCGA-13-1498-01A
73 years, female, white, dead, 2012 days
29.0
TCGA-24-1430-01A
68 years, female, white, dead, 863 days
28.8
TCGA-13-0766-01A
42 years, female, white, dead, 1725 days
28.1
TCGA-04-1332-01A
70 years, female, white, dead, 1247 days
27.8
TCGA-04-1530-01A
68 years, female, white, dead, 3622 days
27.8
TCGA-61-1741-01A
76 years, female, white, dead, 1024 days
27.6
TCGA-23-1114-01B
55 years, female, white, dead, 2089 days
27.4
TCGA-13-1488-01A
59 years, female, white, dead, 2154 days
27.1
TCGA-57-1583-01A
57 years, female, black or african american, dead, 346 days
26.7
TCGA-13-1407-01A
51 years, female, white, alive, 2534 days
26.4
TCGA-24-0982-01A
77 years, female, white, dead, 679 days
26.3
TCGA-61-2002-01A
46 years, female, white, alive, 547 days
26.0
TCGA-59-2351-01A
female, white, alive, 3532 days
25.9
TCGA-13-0891-01A
73 years, female, white, dead, 3128 days
25.7
TCGA-13-1506-01A
45 years, female, white, dead, 1039 days
25.5
TCGA-VG-A8LO-01A
55 years, female, black or african american, dead, 24 days
25.3
TCGA-30-1714-01A
68 years, female, white, dead, 1158 days
25.1
TCGA-13-1510-01A
62 years, female, white, dead, 1359 days
25.0
TCGA-57-1586-01A
66 years, female, white, alive, 679 days
24.7
TCGA-25-1623-01A
71 years, female, white, dead, 565 days
24.4
TCGA-24-2262-01A
57 years, female, white, dead, 11 days
24.4
TCGA-29-1696-01A
43 years, female, white, dead, 1032 days
23.9
TCGA-61-1725-01A
40 years, female, white, alive, 956 days
23.8
TCGA-29-1695-01A
62 years, female, white, dead, 1229 days
23.7
TCGA-61-2000-01A
67 years, female, white, alive, 441 days
23.5
TCGA-61-1919-01A
58 years, female, white, dead, 1161 days
22.7
TCGA-29-1763-01A
43 years, female, black or african american, alive, 2032 days
22.6
TCGA-61-2098-01A
62 years, female, white, alive, 1993 days
22.4
TCGA-23-1118-01A
45 years, female, white, alive, 2616 days
22.2
TCGA-29-1778-01A
77 years, female, white, alive, 454 days
22.2
TCGA-23-1029-01B
46 years, female, white, alive, 268 days
22.1
TCGA-24-2297-01A
56 years, female, white, dead, 1699 days
21.1
TCGA-61-1721-01A
38 years, female, white, alive, 338 days
21.0
TCGA-29-1691-01A
51 years, female, white, dead, 1470 days
21.0
TCGA-13-1507-01A
77 years, female, white, dead, 1993 days
20.7
TCGA-61-1907-01A
63 years, female, white, alive, 952 days
20.7
TCGA-24-0970-01B
63 years, female, white, dead, 354 days
20.5
TCGA-31-1959-01A
49 years, female, white, alive, 67 days
20.5
TCGA-09-2044-01B
77 years, female, asian, alive, 186 days
19.9
TCGA-31-1953-01A
52 years, female, asian, alive, 204 days
19.9
TCGA-25-2396-01A
71 years, female, white, dead, 92 days
19.4
TCGA-23-1024-01A
52 years, female, white, alive, 468 days
19.4
TCGA-30-1857-01A
64 years, female, white, dead, 8 days
19.4
TCGA-24-1467-01A
51 years, female, white, dead, 3224 days
19.3
TCGA-29-1697-01A
62 years, female, white, dead, 949 days
19.1
TCGA-09-2045-01A
50 years, female, asian, dead, 1069 days
18.9
TCGA-24-1544-01A
71 years, female, black or african american, dead, 820 days
18.8
TCGA-29-1769-01A
40 years, female, white, alive, 699 days
18.8
TCGA-25-1326-01A
61 years, female, white, dead, 1249 days
18.7
TCGA-13-0724-01A
72 years, female, white, dead, 83 days
18.3
TCGA-WR-A838-01A
72 years, female, black or african american, dead, 304 days
17.9
TCGA-09-1659-01B
51 years, female, white, dead, 304 days
17.7
TCGA-24-2267-01A
58 years, female, white, dead, 1446 days
17.5
TCGA-25-1320-01A
65 years, female, white, dead, 1155 days
17.4
TCGA-13-0768-01A
73 years, female, white, dead, 1784 days
17.3
TCGA-29-1781-01A
69 years, female, white, alive, 255 days
17.1
TCGA-61-1914-01A
65 years, female, alive, 1722 days
17.1
TCGA-24-1603-01A
53 years, female, white, dead, 2742 days
16.9
TCGA-24-1930-01A
53 years, female, white, dead, 2467 days
16.9
TCGA-31-1956-01A
60 years, female, white, alive, 1342 days
16.8
TCGA-29-1774-01A
82 years, female, white, alive, 527 days
16.7
TCGA-61-1911-01A
55 years, female, white, alive, 1293 days
16.6
TCGA-61-2101-01A
55 years, female, white, dead, 1688 days
16.2
TCGA-04-1365-01A
87 years, female, white, alive, 2329 days
16.1
TCGA-59-A5PD-01A
55 years, female, black or african american, dead, 624 days
15.8
TCGA-24-0968-01A
59 years, female, white, dead, 598 days
15.7
TCGA-09-2054-01A
58 years, female, black or african american, dead, 637 days
15.6
TCGA-24-1103-01A
50 years, female, black or african american, dead, 1646 days
15.5
TCGA-13-0886-01A
67 years, female, white, alive, 4665 days
15.2
TCGA-25-1313-01A
62 years, female, white, dead, 820 days
15.1
TCGA-23-2078-01A
66 years, female, white, alive, 2661 days
15.1
TCGA-25-1630-01A
73 years, female, white, dead, 1162 days
15.0
TCGA-13-0714-01A
55 years, female, white, dead, 189 days
14.9
TCGA-20-1687-01A
46 years, female, white, alive, 81 days
14.8
TCGA-24-1546-01A
46 years, female, white, dead, 1955 days
14.7
TCGA-13-1495-01A
60 years, female, white, dead, 2749 days
14.7
TCGA-24-1435-01A
57 years, female, white, dead, 1324 days
14.6
TCGA-13-0800-01A
52 years, female, white, alive, 2661 days
14.4
TCGA-23-1110-01A
42 years, female, white, alive, 1658 days
14.0
TCGA-29-1777-01A
47 years, female, white, alive, 374 days
13.9
TCGA-29-2427-01A
60 years, female, white, alive, 1900 days
13.8
TCGA-24-2026-01A
79 years, female, white, dead, 1059 days
13.4
TCGA-24-2036-01A
50 years, female, white, dead, 1947 days
13.3
TCGA-24-1469-01A
71 years, female, white, alive, 277 days
13.1
TCGA-13-0923-01A
74 years, female, white, alive, 2547 days
12.8
TCGA-25-1319-01A
73 years, female, white, dead, 1977 days
12.7
TCGA-29-1766-01A
74 years, female, white, dead, 1199 days
12.7
TCGA-24-1560-01A
51 years, female, white, dead, 1341 days
12.6
TCGA-29-1784-01A
55 years, female, white, alive, 163 days
12.6
TCGA-24-1551-01A
53 years, female, white, dead, 1579 days
12.3
TCGA-24-2027-01A
51 years, female, white, dead, 3337 days
12.2
TCGA-36-1576-01A
76 years, female, alive, 915 days
12.0
TCGA-13-1404-01A
48 years, female, white, alive, 2469 days
11.9
TCGA-23-1123-01A
59 years, female, white, dead, 1018 days
11.4
TCGA-36-1581-01A
63 years, female, white, alive, 751 days
11.0
TCGA-25-1870-01A
59 years, female, white, dead, 455 days
11.0
TCGA-24-2023-01A
54 years, female, white, dead, 1364 days
10.9
TCGA-24-1104-01A
56 years, female, white, dead, 1933 days
10.8
TCGA-24-1846-01A
45 years, female, alive, 133 days
10.7
TCGA-09-1667-01C
61 years, female, white, alive, 1882 days
10.7
TCGA-25-1315-01A
50 years, female, white, dead, 1583 days
10.6
TCGA-13-1410-01A
57 years, female, white, alive, 2464 days
10.5
TCGA-25-2401-01A
64 years, female, white, dead, 90 days
10.5
TCGA-04-1514-01A
45 years, female, white, dead, 1720 days
10.4
TCGA-23-1023-01A
65 years, female, white, alive, 1233 days
10.3
TCGA-36-1571-01A
53 years, female, white, dead, 695 days
10.3
TCGA-24-2254-01A
66 years, female, white, dead, 1736 days
10.2
TCGA-24-1550-01A
49 years, female, white, dead, 1249 days
10.1
TCGA-29-1701-01A
56 years, female, white, dead, 515 days
10.0
TCGA-24-1565-01A
74 years, female, white, dead, 312 days
10.0
TCGA-25-2391-01A
57 years, female, white, dead, 1492 days
9.8
TCGA-13-1492-01A
66 years, female, white, dead, 3819 days
9.8
TCGA-13-1483-01A
61 years, female, white, dead, 895 days
9.7
TCGA-13-A5FT-01A
67 years, female, black or african american, alive, 2143 days
9.7
TCGA-24-1924-01A
65 years, female, white, dead, 919 days
9.3
TCGA-61-1738-01A
60 years, female, black or african american, dead, 1089 days
9.3
TCGA-29-1688-01A
39 years, female, white, dead, 2400 days
9.3
TCGA-09-0366-01A
56 years, female, white, dead, 1757 days
9.2
TCGA-13-0920-01A
65 years, female, white, dead, 1484 days
9.0
TCGA-31-1946-01A
30 years, female, alive, 918 days
8.9
TCGA-31-1950-01A
76 years, female, white, alive, 571 days
8.8
TCGA-25-1316-01A
55 years, female, white, dead, 1279 days
8.6
TCGA-24-1428-01A
50 years, female, white, alive, 529 days
8.5
TCGA-09-2051-01A
42 years, female, white, alive, 1919 days
8.5
TCGA-13-1496-01A
65 years, female, white, dead, 129 days
8.4
TCGA-13-1489-01A
70 years, female, white, dead, 2553 days
8.3
TCGA-13-0885-01A
70 years, female, white, alive, 3388 days
8.3
TCGA-36-1570-01A
49 years, female, white, alive, 655 days
8.3
TCGA-61-2113-01A
54 years, female, white, dead, 676 days
8.1
TCGA-09-1666-01A
57 years, female, white, alive, 1752 days
8.1
TCGA-04-1648-01A
57 years, female, white, dead, 871 days
7.4
TCGA-13-1511-01A
52 years, female, asian, dead, 1650 days
7.4
TCGA-24-1470-01A
54 years, female, white, alive, 105 days
7.4
TCGA-13-0911-01A
55 years, female, white, dead, 1355 days
7.4
TCGA-25-2400-01A
76 years, female, white, dead, 1278 days
7.3
TCGA-31-1944-01A
47 years, female, white, alive, 1386 days
7.2
TCGA-25-1323-01A
72 years, female, white, dead, 395 days
7.1
TCGA-24-1471-01A
60 years, female, white, alive, 36 days
7.1
TCGA-23-1022-01A
67 years, female, white, dead, 1511 days
7.0
TCGA-29-1762-01A
59 years, female, white, dead, 2634 days
6.8
TCGA-61-2009-01A
65 years, female, white, alive, 1212 days
6.8
TCGA-10-0931-01A
44 years, female, white, dead, 1000 days
6.8
TCGA-04-1364-01A
61 years, female, white, dead, 1024 days
6.6
TCGA-24-1928-01A
77 years, female, white, dead, 336 days
6.5
TCGA-24-2290-01A
56 years, female, white, dead, 1102 days
6.4
TCGA-04-1361-01A
57 years, female, white, alive, 989 days
6.2
TCGA-24-1567-01A
54 years, female, white, dead, 524 days
6.2
TCGA-24-1616-01A
56 years, female, white, dead, 1163 days
6.2
TCGA-61-2111-01A
61 years, female, white, alive, 3825 days
5.9
TCGA-04-1356-01A
62 years, female, white, dead, 1499 days
5.8
TCGA-20-1682-01A
56 years, female, white, alive, 837 days
5.6
TCGA-09-1665-01B
74 years, female, white, dead, 1266 days
5.5
TCGA-61-1900-01A
51 years, female, black or african american, alive, 176 days
5.5
TCGA-24-1474-01A
57 years, female, black or african american, dead, 676 days
5.1
TCGA-20-0987-01A
61 years, female, white, dead, 701 days
5.0
TCGA-10-0938-01A
80 years, female, white, dead, 636 days
5.0
TCGA-04-1651-01A
53 years, female, white, dead, 1102 days
4.9
TCGA-29-1711-01A
45 years, female, black or african american, alive, 1053 days
4.7
TCGA-29-1703-01A
56 years, female, black or african american, dead, 1815 days
4.7
TCGA-13-1497-01A
48 years, female, white, alive, 3871 days
4.7
TCGA-30-1718-01A
44 years, female, white, dead, 1579 days
4.6
TCGA-13-0900-01B
59 years, female, white, alive, 4077 days
4.5
TCGA-23-1116-01A
83 years, female, white, dead, 592 days
4.5
TCGA-04-1347-01A
81 years, female, white, alive, 1919 days
4.4
TCGA-13-0887-01A
42 years, female, white, dead, 2028 days
4.2
TCGA-13-0762-01A
65 years, female, white, alive, 3400 days
4.2
TCGA-61-2102-01A
74 years, female, white, dead, 197 days
4.0
TCGA-13-2060-01A
51 years, female, white, alive, 2369 days
4.0
TCGA-57-1584-01A
47 years, female, white, alive, 643 days
3.9
TCGA-23-1028-01A
43 years, female, white, alive, 1503 days
3.8
TCGA-61-1737-01A
42 years, female, white, alive, 1364 days
3.8
TCGA-25-1877-01A
81 years, female, white, dead, 730 days
3.6
TCGA-29-1768-01A
50 years, female, white, dead, 952 days
3.6
TCGA-24-1850-01A
72 years, female, white, alive, 168 days
3.6
TCGA-13-1512-01A
49 years, female, white, alive, 442 days
3.5
TCGA-24-1431-01A
67 years, female, white, dead, 567 days
3.5
TCGA-29-1761-01A
80 years, female, asian, dead, 528 days
3.1
TCGA-20-1683-01A
65 years, female, white, alive, 772 days
2.5
TCGA-13-0901-01B
42 years, female, asian, alive, 589 days
2.4
TCGA-13-0797-01A
49 years, female, white, alive, 2121 days
2.2
TCGA-36-1577-01A
43 years, female, asian, alive, 783 days
2.2
TCGA-61-2097-01A
71 years, female, white, alive, 1844 days
1.9
TCGA-23-1107-01A
59 years, female, white, dead, 9 days
1.3
TCGA-24-1845-01A
42 years, female, white, alive, 116 days
1.2
TCGA-20-1686-01A
75 years, female, white, alive, 89 days
1.0
TCGA-24-2020-01A
67 years, female, white, dead, 4624 days
0.9
TCGA-61-2092-01A
57 years, female, white, alive, 1573 days
0.5
Show all
OVARIAN CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off).
The Human Protein Atlas project is funded
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